Optimizing method for forging modeling process

A technology of forming process and optimization method, which is applied in the field of forging, can solve problems such as poor accuracy of forging process optimization and no specific quantification of optimization analysis, and achieve the effects of shortening the design cycle of forging process, saving time, and improving optimization accuracy

Inactive Publication Date: 2007-03-14
CSIC NO 12 RES INST
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] The purpose of the present invention is to provide a method for optimizing the forging forming process. Based on the numerical simulation analysis technology, the influence of multi-objective factors in

Method used

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  • Optimizing method for forging modeling process
  • Optimizing method for forging modeling process
  • Optimizing method for forging modeling process

Examples

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Effect test

Embodiment 1

[0048] Example 1: Optimum Design of Forging Process for a Connecting Rod of a Diesel Engine

[0049] 1. Forging billet design: take connecting rod M d =153Kg, M p =177Kg, δ takes 3.75%, according to a=M d / [(1-δ)M p ], a = 0.898 is obtained.

[0050] 2. Equipment selection: The equipment uses a 5600T screw press, and the actual required deformation force curve of the forging is shown in Figure 2. According to F d =βF e , F e =5600T,F d =5300T, resulting in β=0.95.

[0051] 3. Lubrication and heating process

[0052] When the connecting rod is hot forged, use water-based graphite, spray evenly, and the lubrication coefficient μ is 0.3, press μ p =1.06~0.533μ calculation, get μ p = 0.9.

[0053] 4. Mold

[0054] Through computer numerical simulation, determine the minimum compressive stress p of the die when the forging is fully filled min , Figure 3 is the force diagram of the mold, the stress level is represented by color spots, the displayed value is 712MPa, and ...

Embodiment 2

[0061] Example 2: Optimal design of forging process for rocker arm of a certain diesel engine

[0062] 1. Forging billet design: take rocker arm M d =16.5Kg, M p =20Kg, δ takes 3.75%, according to a=M d / [(1-δ)M p ], a = 0.857 is obtained.

[0063] 2. Equipment selection: The equipment uses a 3500T press. The actual required deformation force curve of the forging is shown in Figure 4. The stress level is represented by color spots, and the displayed value is 700MPa. The maximum compressive stress on the surface of the lower die is also 700MPa. According to F d =βF e , F e =3500T,F d = 3315T, resulting in β = 0.95.

[0064] 3. Lubrication and heating process

[0065] When the rocker arm is hot forged, use water-based graphite, spray evenly, and the lubrication coefficient μ is 0.3, press μ p =1.06~0.533μ calculation, get μ p = 0.9.

[0066] 4. Mold

[0067] Through computer numerical simulation, determine the minimum compressive stress p of the die when the forging ...

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Abstract

The disclosed optimization method for forging and forming comprises: selecting the blank, mould and other devices every met some optimal value and weighing data; combining numerical simulation and multi-objective optimization technology to process data during analysis, determining the weighing value for MOO by AHP, and presenting a quantitative evaluation method. This invention improves optimization precision greatly, and cuts process design period.

Description

technical field [0001] The invention belongs to the technical field of forging, and relates to a method for optimizing a forging forming process, in particular to a method for optimizing the design of a forging process based on numerical simulation analysis technology. Background technique [0002] Forging is a complicated process. The degree of deformation of the blank, the compressive stress and maximum damage value of the die, the peak load of the process, and lubrication are all factors that cannot be ignored in the process evaluation and optimization process. If the traditional mathematical approximation formula is used to calculate various influencing factors, not only the workload is large, but also the accuracy is low, and it is difficult to ensure the optimal rationality of the process plan. With the continuous improvement of finite element theory and the increasing calculation efficiency, numerical simulation technology has been widely used in forging process desig...

Claims

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Application Information

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IPC IPC(8): G06F17/50
Inventor 赵勐舟雍艺龙宇文建鹏陈鹏波马敏团黄引平武剑郝炜
Owner CSIC NO 12 RES INST
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